Summary
Senior Data Engineer hired via recruitment firm Sanderson-iKas for a Singapore-based client: designs, builds, and maintains data pipelines, ETL processes, and warehouse structures supporting analytics and data science. Core stack includes Python/Java/Scala, SQL, cloud platforms (AWS/Azure/GCP), Spark/Hadoop, and DevOps tooling like Docker, Git, and Terraform.
Job Summary
You will design, develop, and maintain robust data pipelines and warehouse structures, collaborating with cross-functional teams to deliver reliable, secure, and efficient data solutions that support analytics and data science initiatives.
Responsibilities
Collaborate with cross-functional teams to translate data requirements into effective technical solutions that meet business needs
Design, develop, and maintain data pipelines to integrate, transform, and standardize data from multiple sources for consistent data flow
Manage database operations including ETL processes, performance tuning, and system availability to ensure optimal data infrastructure functioning
Build and maintain data models and warehouse structures that support analytics and data science objectives
Implement data governance frameworks, conduct quality checks, enforce security controls, and manage data access mechanisms to safeguard data integrity
Maintain comprehensive data catalogues, metadata, and technical documentation to support data transparency and usability
Monitor and troubleshoot data pipelines to ensure reliability, accuracy, and high performance in data delivery
Evaluate and recommend new technologies to enhance data infrastructure and improve operational efficiency
Preferred competencies and qualifications
Knowledge of system design, data modelling, data structures, and data warehousing principles
Experience with cloud platforms such as AWS, Azure, or GCP to support scalable data solutions
Proficiency in programming languages including Python, Java, or Scala, and strong SQL skills for data manipulation and querying
Experience with distributed data technologies such as Spark or Hadoop for handling large-scale data processing
Familiarity with ETL/ELT processes, CI/CD pipelines, and DevOps tools such as Docker, Git, and Terraform to support automated and reliable deployments
Strong collaboration and problem-solving skills to work effectively within teams and resolve technical challenges
For a confidential discussion, please reach out to me at (HIDDEN TEXT) Personal data collected will be used for recruitment purposes only. Only shortlisted candidates will be notified/contacted.
EA Registration No: R21101138
'Sanderson-iKas' is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.
Website: www.sanderson-ikas.sg